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acknowledgements


this report was written by Claire Pénicaud and arunjay Katakam. the
authors would like to thank their colleagues from GSma mmu for their
invaluable support collecting data through the 2013 Global Survey and for
their thought partnership.

the authors would also like to express their sincere appreciation to the Bill
& melinda Gates Foundation, the masterCard Foundation, and Omidyar
network for reviewing this report and providing useful insights.

Finally, the authors would like to thank Bima and microensure for helping
collect data on mobile insurance services and CGaP for their support in
identifying the mobile insurance services included in the mmu mobile
insurance deployment tracker.


disclaimer


this report is based on data collected through mmu’s annual Global adop-
tion Survey of mobile Financial Services, mmu deployment tracker, and
on mmu internal analysis. as of the end of 2013 there were approximately
219 live mobile money services in the world, of which around 50% report
mobile money data every year through mmu Global Survey. Because the
larger mobile money providers tend to participate in the survey every year,
our sample actually represents the majority of the world’s market share of
mobile money users.

Cleaning

Survey data is self-reported and has not been verifed independently
by the GSma. Before data is entered it is checked for what’s included or
excluded and how the metric is defned. data is also cross-checked against
regulators’ reports where available.

Confdentiality

data was reported on a confdential basis and the report protects the
confdentiality of each deployment. We only highlight individual services
where the service provider granted approval to disclose key perfor-
mance information.

Data availability and estimates

For some metrics, such as mobile money revenues, the amount of data re-
ported is not as high as for the core metrics. Where it is sensible, estimates
are made to complete the data set; in this report, numbers of mobile
money accounts (both registered and active) have been estimated. this is
undertaken by applying the extensive research experience of the team and
comparison with other similar operators and markets.
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